scholarly journals Non-Contact Evaluation of Pigs’ Body Temperature Incorporating Environmental Factors

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4282
Author(s):  
Guifeng Jia ◽  
Wei Li ◽  
Junyu Meng ◽  
Hequn Tan ◽  
Yaoze Feng
Keyword(s):  
Body Temperature ◽  
Environmental Factors ◽  
Prediction Model ◽  
Air Temperature ◽  
Maximum Error ◽  
Support Vector ◽  
Internal Temperature ◽  
Minimum Error ◽  
Temperature And Humidity ◽  
Internal Body

Internal body temperature is the gold standard for the fever of pigs, however non-contact infrared imaging technology (IRT) can only measure the skin temperature of regions of interest (ROI). Therefore, using IRT to detect the internal body temperature should be based on a correlation model between the ROI temperature and the internal temperature. When heat exchange between the ROI and the surroundings makes the ROI temperature more correlated with the environment, merely depending on the ROI to predict the internal temperature is unreliable. To ensure a high prediction accuracy, this paper investigated the influence of air temperature and humidity on ROI temperature, then built a prediction model incorporating them. The animal test includes 18 swine. IRT was employed to collect the temperatures of the backside, eye, vulva, and ear root ROIs; meanwhile, the air temperature and humidity were recorded. Body temperature prediction models incorporating environmental factors and the ROI temperature were constructed based on Back Propagate Neural Net (BPNN), Random Forest (RF), and Support Vector Regression (SVR). All three models yielded better results regarding the maximum error, minimum error, and mean square error (MSE) when the environmental factors were considered. When environmental factors were incorporated, SVR produced the best outcome, with the maximum error at 0.478 °C, the minimum error at 0.124 °C, and the MSE at 0.159 °C. The result demonstrated the accuracy and applicability of SVR as a prediction model of pigs′ internal body temperature.

scholarly journals Influence of air temperature and humidity in the stable on the physiological parameters in horses: Preliminary study

2020 ◽  
Vol 76 (09) ◽  
pp. 6441-2020
Author(s):  
IWONA JANCZAREK ◽  
ANNA STACHURSKA ◽  
ELŻBIETA WNUK-PAWLAK ◽  
ANNA WIŚNIEWSKA ◽  
IZABELA WILK ◽  
...  
Keyword(s):  
Body Temperature ◽  
Air Temperature ◽  
Physiological Parameters ◽  
Air Humidity ◽  
Technical Parameters ◽  
Relative Air Humidity ◽  
Temperature And Humidity ◽  
Different Seasons ◽  
Preliminary Study ◽  
Internal Body

The aim of the study was to analyse selected air parameters in the stable (microclimate) and basic physiological parameters in horses maintained in this stable in different seasons of the year. The material consisted of 24 adult warmblood leisure horses maintained in two brick-built box stables. The technical parameters in the stables (air temperature and humidity in the hall and in two places in a box) were determined on the first day of summer, autumn, winter and spring in the same year. The measurements of each parameter were performed with an LB-518 wireless battery thermohygrometer Bluetooth BLE-LOGGER at noon in five places in the stable situated 300 cm apart from each other. The physiological parameters in horses, that is, the internal body temperature (Veterinär – Thermometer S.C. 12), the heart rate (Polar ELECTRO OY – RS800CX device with PolarProTrainer 5.0. software) and the respiratory rate (manual stopwatch), were measured at 6:00 and 18:00 every day of the test. It was found that the season of the year significantly influenced the microclimate of the stable. To maintain the optimal relative air humidity, the airing of the stable should be limited only in winter and partly in autumn. It should also be emphasised that the microclimate of the stable considerably influences the basic physiological horse parameters. A high temperature in the stable during summer may cause an adverse increase in the internal body temperature in the evening, whereas a high relative humidity can contribute to a decrease in the animal’s body temperature during winter. The other parameters, that is, the heart and respiratory rates, can be excessively elevated mainly in summer. Horses tend to have less difficulty maintaining proper levels of physiological parameters in winter, still less in autumn, and the least in spring.

scholarly journals Pengaruh Perbedaan Ekosistem dan Faktor Lingkungan terhadap Keragaman Jenis Kelelawar di Kabupaten Tojo Una - Una dan Tolitoli Provinsi Sulawesi Tengah

2018 ◽  
Vol 12 (2) ◽  
pp. 57-66
Author(s):  
Anis Nurwidayati ◽  
Made Agus Nurjana
Keyword(s):  
Species Diversity ◽  
Environmental Factors ◽  
Air Temperature ◽  
Wiener Index ◽  
Research Report ◽  
Temperature And Humidity ◽  
The Impact ◽  
Species Biodiversity

Abstract The bat species biodiversity varies across environments in six different ecosystems based on Vectora 2015 Research Report. These ecosystems were distant forests and near settlements, non forests near and far residential, as well as near and remote coastal settlements. We measured species diversity (Shannon-Wiener index), environmental factors were also measured during bat surveys, ie air temperature, humidity and weather during survey. This paper was a further analysis of Vectora 2015 Research Report. The analysis was aimed to determine the impact of environmental factors to the bat species diversity especially in Tojo Una-Una and Tolitoli District. We found that the temperature and humidity factors significantly affect the diversity of bat species. The highest species diversity found in the forest near settlement, that was 0,3396. Abstrak Data Riset Khusus Vektora tahun 2015 menunjukkan adanya keragaman spesieskelelawar di lokasi riset yang terdiri atas enam ekosistem yang berbeda. Ekosistemtersebut adalah hutan , non hutan jauh dan dekat pemukiman dekat dan jauhpemukiman, serta dekat dan jauh pemukiman pantai . Faktor lingkungan juga diukurpada saat dilakukan survei kelelawar, yaitu suhu udara, kelembaban dan cuaca saatpenangkapan. Tulisan ini merupakan hasil analisis lanjut Riset Khusus vektora tahun2015. Analisis dilakukan dengan tujuan untuk mengidentifikasi pengaruh ekosistemdan faktor lingkungan (suhu, kelembaban dan cuaca) terhadap keragaman jeniskelelawar di Kabupaten Tojo Una-Una dan Tolitoli Provinsi Sulawesi Tengah danperannya sebagai reservoir penyakit zoonosis. Hasil analisis menunjukkan bahwafaktor suhu dan kelembaban berpengaruh pada keragaman spesies kelelawar secarasignifikan.

Body temperature of horses spending time in paddocks in various weather conditions during the summer

2020 ◽  
Vol 16 (1) ◽  
pp. 53-66
Author(s):  
Iwona Janczarek ◽  
Elżbieta Wnuk - Pawlak ◽  
Anna Wiśniewska ◽  
Dominika Dziuban ◽  
Martyna Frątczak ◽  
...  
Keyword(s):  
Body Temperature ◽  
Surface Temperature ◽  
Air Temperature ◽  
Infrared Camera ◽  
Weather Conditions ◽  
The Other ◽  
Body Parts ◽  
Internal Temperature ◽  
Thermal Imagers ◽  
Sunny Weather

The aim of the study was to determine the internal and surface temperature of selected body parts of horses during their stay in paddocks in various weather conditions in the summer. The study was conducted on 10 adult thoroughbred mares. The experiment was carried out on horses spending time in the paddock in four eight-hour stages with differing weather conditions in summer (sunny, cloudy, rainy and windy). Measurements of internal temperature (Veterinär SC 12 veterinary thermometer) and surface temperature of the head, rib area and croup (Thermal Imagers Ti9 FLUKE infrared camera and SmartView 4.1 software) were carried out at rest and again after four and eight hours in the paddock. It was concluded that the time horses spend in the paddock in summer should depend on weather conditions. Many hours spent outside the stable during sunny weather accompanied by high air temperature can contribute to overheating. On the other hand, rain and wind can cause hypothermia. Therefore, it is worth considering leaving horses in the stable or limiting their stay in the paddock to no more than four hours.

scholarly journals Specific nature of the integrative (complex) effect of environmental factors on hazelnut cultivars in the Russian humid subtropics

2021 ◽  
Vol 182 (1) ◽  
pp. 22-32
Author(s):  
T. D. Besedina ◽  
A. P. Boyko ◽  
Ts. V. Tutberidze ◽  
N. S. Kiseleva
Keyword(s):  
Environmental Factors ◽  
Air Temperature ◽  
Large Scale ◽  
Weather Conditions ◽  
Limiting Factors ◽  
Coefficient Of Determination ◽  
Weather Factors ◽  
Specific Nature ◽  
Complex Effect ◽  
Temperature And Humidity

Corylus ponticaK. Koch is a valuable nut crop. The expediency of the crop’s large-scale cultivation calls for measuring the parameters of agroclimatic indicators, ranging in variability, intensity, and duration of their impact. Environmental factors were assessed using phenological techniques based on recording the flowering and fruiting dates, recognized as the function demonstrating the complex effect of these factors on the hazelnut yield throughout the crop’s perennial cycle. Climate change urges the selection of adaptable cultivars for such areas where limiting factors are turning into stressors. Dependence of hazel cultivars on climate indicators (air temperature and humidity, and total precipitation) was observed in the phases of harvest formation. The crop’s genotypic diversity contributed to the specific nature of the complex effect produced by environmental factors. Peculiar responses of hazel plants to weather conditions in both flowering and fruiting phases were instigated by the biology of their development. Flowering started in January and depended on air temperature and humidity. Fruiting was affected by air temperatures and precipitation amounts (in July/August). Dependencies between yield and weather were well expressed, with module values of 0.86–1.0 (p< 0.05). The effect size of limiting factors is better measured with the coefficient of determination (%), a direct indicator of the correlations between harvest and weather factors. Flowering (I–III) under unpredictable conditions is regarded as a “critical” stage in the ontogenesis of hazel trees. No less critical is the fruiting phase, occurring simultaneously with the setting and differentiation of generative organs for the next year’s yield.Registration of limiting factors and their variations over the perennial plant cycle made it possible to recommend cvs. ‘Cherkesskiy-2’, ‘Anastasiya’, ‘Kristina’ and ‘Viktoriya’ as adaptable to the subtropics of Krasnodar Territory.

Simulation of the internal temperature in the Passol Laboratory, University of Debrecen

2012 ◽  
Vol 3 (1) ◽  
pp. 63-73 ◽  
Author(s):  
I. Csáky ◽  
F. Kalmár
Keyword(s):  
Temperature Variation ◽  
Air Temperature ◽  
Indoor Air ◽  
Storage Capacity ◽  
Building Structures ◽  
Internal Temperature ◽  
The One ◽  
Heavy Structure ◽  
East West ◽  
Made In

Abstract Nowadays the facades of newly built buildings have significant glazed surfaces. The solar gains in these buildings can produce discomfort caused by direct solar radiation on the one hand and by the higher indoor air temperature on the other hand. The amplitude of the indoor air temperature variation depends on the glazed area, orientation of the facade and heat storage capacity of the building. This paper presents the results of a simulation, which were made in the Passol Laboratory of University of Debrecen in order to define the internal temperature variation. The simulation proved that the highest amplitudes of the internal temperature are obtained for East orientation of the facade. The upper acceptable limit of the internal air temperature is exceeded for each analyzed orientation: North, South, East, West. Comparing different building structures, according to the obtained results, in case of the heavy structure more cooling hours are obtained, but the energy consumption for cooling is lower.

Strretlight pole metal as the medium of Tetragonula sp nest in Indralaya, South Sumatra

2019 ◽  
Vol 1 (2) ◽  
Author(s):  
Hanifa Marisa
Keyword(s):  
Zea Mays ◽  
Air Temperature ◽  
Hevea Brasiliensis ◽  
Citrullus Lanatus ◽  
Ground Surface ◽  
Temperature And Humidity ◽  
Surface Diameter ◽  
Very High

An investigation had been done to Tetragonula (Tetragona) sp nest at Indralaya, South Sumatra to describe the Tetragonula sp nest that use streetlight pole as nest medium during April - May 2019. Purpossive sampling is used to select the target nest. Two streetlight pole found be used by Tetragonula sp as their home. The coordinate of location, heght from ground surface, diameter of streetlight pole, air temperature and humidity, and floral species around nest, were noted. Spot coordinate are S 30 14’ 19.2498’’ and E 1040 39’ 15,3288’’ ; 1,5 m above the ground surface, 12 cm diameter pole, highest air temperature was 35 o C at daylight (April and May 2019), 80 – 90 % humidity at April-May 2019; which Switenia macrophyla, Hevea brasiliensis, Zea mays, and Citrullus lanatus floral species are planted around. Air temperature in the pole is very high, around 40 0 C during daylight.

Combination of Support Vector Machine and K-Fold cross-validation for prediction of long-term degradation of the compressive strength of marine concrete

2018 ◽  
Vol 1 (1) ◽  
pp. 120-130 ◽  
Author(s):  
Chunxiang Qian ◽  
Wence Kang ◽  
Hao Ling ◽  
Hua Dong ◽  
Chengyao Liang ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Environmental Factors ◽  
Cross Validation ◽  
Concrete Strength ◽  
Simulation Method ◽  
Support Vector ◽  
Svm Model ◽  
Artificial Neural Network Ann ◽  
Influence Degree ◽  
Fold Cross Validation

Support Vector Machine (SVM) model optimized by K-Fold cross-validation was built to predict and evaluate the degradation of concrete strength in a complicated marine environment. Meanwhile, several mathematical models, such as Artificial Neural Network (ANN) and Decision Tree (DT), were also built and compared with SVM to determine which one could make the most accurate predictions. The material factors and environmental factors that influence the results were considered. The materials factors mainly involved the original concrete strength, the amount of cement replaced by fly ash and slag. The environmental factors consisted of the concentration of Mg2+, SO42-, Cl-, temperature and exposing time. It was concluded from the prediction results that the optimized SVM model appeared to perform better than other models in predicting the concrete strength. Based on SVM model, a simulation method of variables limitation was used to determine the sensitivity of various factors and the influence degree of these factors on the degradation of concrete strength.

scholarly journals Predicting Ink Transfer Rate of 3D Additive Printing Using EGBO Optimized Least Squares Support Vector Machine Model

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Shengpu Li ◽  
Yize Sun
Keyword(s):  
Support Vector Machine ◽  
Prediction Model ◽  
Least Squares ◽  
Transfer Rate ◽  
Coefficient Of Determination ◽  
Percentage Error ◽  
Support Vector ◽  
Experimental Sample ◽  
Machine Model ◽  
Ink Transfer

Ink transfer rate (ITR) is a reference index to measure the quality of 3D additive printing. In this study, an ink transfer rate prediction model is proposed by applying the least squares support vector machine (LSSVM). In addition, enhanced garden balsam optimization (EGBO) is used for selection and optimization of hyperparameters that are embedded in the LSSVM model. 102 sets of experimental sample data have been collected from the production line to train and test the hybrid prediction model. Experimental results show that the coefficient of determination (R2) for the introduced model is equal to 0.8476, the root-mean-square error (RMSE) is 6.6 × 10 (−3), and the mean absolute percentage error (MAPE) is 1.6502 × 10 (−3) for the ink transfer rate of 3D additive printing.

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